國立虎尾科技大學 |

Source Code Analytics With Roslyn and JavaScript Data Visualization

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Source Code Analytics With Roslyn and JavaScript Data Visualization/ by Sudipta Mukherjee.
Author:	Mukherjee, Sudipta.
Description:	XXI, 170 p. 129 illus., 122 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer programming. -
Online resource:	https://doi.org/10.1007/978-1-4842-1925-6
ISBN:	9781484219256

Source Code Analytics With Roslyn and JavaScript Data Visualization
Mukherjee, Sudipta.

Source Code Analytics With Roslyn and JavaScript Data Visualization[electronic resource] /by Sudipta Mukherjee. - 1st ed. 2016. - XXI, 170 p. 129 illus., 122 illus. in color.online resource.

Chapter 1 Meet Roslyn Syntax -- Chapter 2 Code Quality Metrics -- Chapter 3 Design Quality Metrics -- Chapter 4 Code Performance Metrics -- Chapter 5 Code Mining -- Chapter 6 Code Forensics -- Chapter 7 Code Visualization.

Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft’s Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. Roslyn exposes a set of APIs which allow developers to parse their C# and VB.NET code and drastically lower the barrier to entry for Meta programming in .NET. Roslyn has a dedicated set of APIs for creating custom refactoring for integrating with Visual Studio. This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source code analytics system. .

ISBN: 9781484219256

Standard No.: 10.1007/978-1-4842-1925-6doiSubjects--Topical Terms:

527822
Computer programming.

LC Class. No.: QA76.6-76.66

Dewey Class. No.: 005.11

Source Code Analytics With Roslyn and JavaScript Data Visualization
LDR:02707nam a22003855i 4500 001 976459
003 DE-He213
005 20200630082839.0
007 cr nn 008mamaa
008 201211s2016 xxu| s |||| 0|eng d
020 $a 9781484219256 $9 978-1-4842-1925-6
024 7 $a 10.1007/978-1-4842-1925-6 $2 doi
035 $a 978-1-4842-1925-6
050 4 $a QA76.6-76.66
072 7 $a UM $2 bicssc
072 7 $a COM051000 $2 bisacsh
072 7 $a UM $2 thema
082 0 4 $a 005.11 $2 23
100 1 $a Mukherjee, Sudipta. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1116626
245 1 0 $a Source Code Analytics With Roslyn and JavaScript Data Visualization $h [electronic resource] / $c by Sudipta Mukherjee.
250 $a 1st ed. 2016.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2016.
300 $a XXI, 170 p. 129 illus., 122 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1 Meet Roslyn Syntax -- Chapter 2 Code Quality Metrics -- Chapter 3 Design Quality Metrics -- Chapter 4 Code Performance Metrics -- Chapter 5 Code Mining -- Chapter 6 Code Forensics -- Chapter 7 Code Visualization.
520 $a Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft’s Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. Roslyn exposes a set of APIs which allow developers to parse their C# and VB.NET code and drastically lower the barrier to entry for Meta programming in .NET. Roslyn has a dedicated set of APIs for creating custom refactoring for integrating with Visual Studio. This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source code analytics system. .
650 0 $a Computer programming. $3 527822
650 0 $a Software engineering. $3 562952
650 0 $a Programming languages (Electronic computers). $3 1127615
650 1 4 $a Programming Techniques. $3 669781
650 2 4 $a Software Engineering. $3 669632
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484219249
776 0 8 $i Printed edition: $z 9781484219263
856 4 0 $u https://doi.org/10.1007/978-1-4842-1925-6
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)